Temporary Post-Doctoral Associate; Stats Genetics/Omics
Listed on 2025-12-31
-
Healthcare
Data Scientist
Post‑Doctoral Associate – Biostatistics & Health Data Science
Job
Location:
Twin Cities
Full/Part Time:
Full‑Time
Regular/Temporary:
Regular
The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up to 1–2 temporary (through August 2026) full‑time Post‑Doctoral Associate positions. For more information on the division, visit http://(Use the "Apply for this Job" box below)..
The Post‑Doc will work with Dr. Wei Pan ( or http:///~weip/) and his collaborators in or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/Tensor Flow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts.
Duration: This appointment is temporary through August 2026 but may be extended for a second year depending on satisfactory performance and funding availability.
Starting Date: Negotiable. Position will remain open until filled.
Annual Salary: Based on NIH NRSA postdoctoral stipend levels.
• Postdoc No
Experience:
$62,232
• Postdoc 1 year of
Experience:
$62,652
• Postdoc 2 years of
Experience:
$63,120
Work Arrangements: The University of Minnesota endorses a “Work. With Flexibility.” and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position will have a hybrid work option with a preferred 3 days onsite during core business hours. The selected candidate will be provided University‑configured equipment and supportive technology tools, however, they are expected to have access to a reliable internet connection for duties undertaken remotely.
Work arrangements will be discussed during the interview.
Onsite
Location:
University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus – East‑bank.
Sponsorship: This position is not eligible for H‑1B visa sponsorship.
QualificationsRequired Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing/programming and communication skills.
Essential qualifications include the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas:
- Statistical genetics/genomics/omics
- Deep/machine learning
Pay Range: $62,232 – $65,000 based on NIH stipend levels; depending on education/qualifications/experience.
Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.
- Competitive wages, paid holidays, and generous time off
- Continuous learning opportunities through professional training
- Medical, dental, and pharmacy plans
- Healthcare and dependent care flexible spending accounts
- University HSA contributions
- Disability and life insurance
- Employee wellbeing program
- Financial counseling services
- Employee Assistance Program with eight sessions of counseling at no cost
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
Required: CV
This position will remain open until filled.
To request an accommodation during the application process, please e‑mail employ or call (612) 624‑8647.
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